Hyper Online
Applied Machine Learning Engineer (3D & Graphics)
Hyper Online, San Francisco, California, United States, 94199
[Full Time] Applied Machine Learning Engineer (3D & Graphics) at Hyper Online (United States)Applied Machine Learning Engineer (3D & Graphics)
Hyper Online United StatesDate Posted: 26 Jun, 2023Work Location: San Francisco, United StatesSalary Offered: Not SpecifiedJob Type: Full TimeExperience Required: 6+ yearsRemote Work: YesStock Options: NoVacancies: 1 availableAbout Hyper
Hyper's goal is to build the world's best avatar tools. We're starting with VTubing as our first use-case: avatars that people use to live-stream and make content online. Avatar content (also known as VTubing) has broken into the multi-billion-view-per-month category on places like Twitch and YouTube. This has given a new group of people the power to tell stories and present themselves on their own terms online while also protecting their IRL identities. We're now the #1 US VTubing app on iOS, and have recently released an AI platform to create avatar powered agents.We're backed by great investors over at Amazon, MakersFund, YCombinator, and more.About the Role
Hyper is looking for an engineer with experience implementing and deploying cutting edge machine learning research to power the next generation of avatar tools. As our first machine learning focused hire, you’ll set the standards for execution and delivery of great ML-powered services and features for our avatar and AI platform.You will be leading the development of machine learning services that power our avatar creation suite. These will primarily be in the domain of 3D, animation, and graphics, but will also have the opportunity to explore any other parts of the avatar stack that may be relevant like LLMs and audio synthesis.You should have 6+ years of professional experience implementing papers, preparing data, training, building, and deploying machine learning services, or equivalent experience in public personal projects.You will be joining a small team focused on a fast growing product. Hyper is ~7 people right now and we're fully remote, so great written communication skills are a must.
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Hyper Online United StatesDate Posted: 26 Jun, 2023Work Location: San Francisco, United StatesSalary Offered: Not SpecifiedJob Type: Full TimeExperience Required: 6+ yearsRemote Work: YesStock Options: NoVacancies: 1 availableAbout Hyper
Hyper's goal is to build the world's best avatar tools. We're starting with VTubing as our first use-case: avatars that people use to live-stream and make content online. Avatar content (also known as VTubing) has broken into the multi-billion-view-per-month category on places like Twitch and YouTube. This has given a new group of people the power to tell stories and present themselves on their own terms online while also protecting their IRL identities. We're now the #1 US VTubing app on iOS, and have recently released an AI platform to create avatar powered agents.We're backed by great investors over at Amazon, MakersFund, YCombinator, and more.About the Role
Hyper is looking for an engineer with experience implementing and deploying cutting edge machine learning research to power the next generation of avatar tools. As our first machine learning focused hire, you’ll set the standards for execution and delivery of great ML-powered services and features for our avatar and AI platform.You will be leading the development of machine learning services that power our avatar creation suite. These will primarily be in the domain of 3D, animation, and graphics, but will also have the opportunity to explore any other parts of the avatar stack that may be relevant like LLMs and audio synthesis.You should have 6+ years of professional experience implementing papers, preparing data, training, building, and deploying machine learning services, or equivalent experience in public personal projects.You will be joining a small team focused on a fast growing product. Hyper is ~7 people right now and we're fully remote, so great written communication skills are a must.
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